The operation relied heavily on manual labor for picking and material movement. Leadership wanted solutions that could scale with demand, reduce errors, and maintain a strong safety record—integrating with existing WMS and workflows.

Key challenges included:

• Labor scarcity, turnover, and manual bottlenecks
• Throughput and accuracy constraints
• Safety concerns in material handling
• Need to scale without proportional headcount

Our approach includes autonomous navigation and material-handling systems with human-robot collaboration and agentic workflow orchestration.

The solution enabled:

• Autonomous navigation and material handling
• Human-robot collaboration with clear safety zones
• Integration with WMS and existing workflows
• Agentic orchestration for picking and movement

Our approach emphasizes safety in collaboration zones and aims for gains in efficiency and order accuracy.

1. 1AMRs and agents handle repetitive movement and picking support
2. 2Workers focus on higher-value tasks
3. 3Systems integrate with WMS and provide safety zones and protocols
4. 4Throughput and accuracy scale with demand

• Efficiency gain in material handling vs. manual baseline
• Safety-first design in human-robot collaboration zones
• Reduction in pick errors with agent-guided workflows
• Better throughput scalability during peak vs. manual-only

• Higher efficiency and scalable throughput
• Fewer errors and stronger safety record
• Reduced dependence on manual labor
• WMS-aligned, scalable operations